ABSTRACT
Multicore and accelerator-based systems are now ubiquitous in the hardware landscape. These architectures present many challenges to the scientific end-users: including high concurrency, non-uniform memory access, programming language interoperability. Abstracting these issues from scientific software development is indispensable, especially in the exascale era, less than a decade away, where system complexity will rise significantly.

This talk will highlight numerical algorithms and code optimization techniques (e.g., mixed precision techniques, hierarchical algorithms, data motion reduction, asynchronous execution) and present scheduling frameworks to run numerical applications on many-core systems with high productivity in mind. There is no free lunch. It is still the responsibility of the user, for instance, to expose the fine-grain parallelism so that a dynamic runtime system can then distribute the work among available computing resources. Demonstrations will be shown for critical dense and sparse numerical operations (e.g., dense factorizations and eigensolvers, stencil computations, sparse matrix-vector multiply), which are inner kernels for many scientific and engineering applications. Performance results will be reported against existing high performance numerical libraries using the state-of-the-art available hardware based on commodity x86 and accelerators.

BIOGRAPHY
Hatem Ltaief is a Senior Research Scientist in the Extreme Computing Research Center at KAUST, where is also advising several KAUST students in their MS and PhD research. Hatem received the engineering degree from Polytech Lyon at the University of Claude Bernard Lyon I, France, the MSc in applied mathematics at the University of Houston, and the PhD degree in computer science from the University of Houston. From 2008 to 2010, he was a Research Scientist in the Innovative Computing Laboratory in the Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. He is part of the European Exascale Software Initiative (EESI) to build a European vision and roadmap to address the challenges of the new generation of massively parallel systems. He has various strategic partnerships with industries (Saudi Aramco, NVIDIA) as well as Universities and HPC Centers (University of Tennessee, INRIA Bordeaux, L"Observatoire de Paris, Barcelona Supercomputing Center, University of Erlangen). He is the (co)author of +40 journal / conference papers and book chapters. His research interests include parallel numerical algorithms, fault tolerant algorithms, parallel programming models and performance optimizations for multicore architectures and hardware accelerators.

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